In this podcast from the Carnegie Mellon University Software Engineering Institute, Carol Smith, a senior research scientist in human-machine interaction, and Jonathan Spring, a senior vulnerability researcher, discuss the hidden sources of bias in artificial intelligence (AI) systems and how systems developers can raise their awareness of bias, mitigate consequences, and reduce risks.
Predicting Software Assurance Using Quality and Reliability Measures
Applying Agile in the DoD: Ninth Principle
Cyber Insurance and Its Role in Mitigating Cybersecurity Risk
AADL and Dassault Aviation
Tactical Cloudlets
Agile Software Teams and How They Engage with Systems Engineering on DoD Acquisition Programs
Coding with AADL
The State of Agile
Applying Agile in the DoD: Eighth Principle
A Taxonomy of Operational Risks for Cyber Security
Agile Metrics
Four Principles for Engineering Scalable, Big Data Systems
An Appraisal of Systems Engineering: Defense v. Non-Defense
HTML5 for Mobile Apps at the Edge
Applying Agile in the DoD: Seventh Principle
AADL and Edgewater
Security and Wireless Emergency Alerts
Safety and Behavior Specification Using the Architecture Analysis and Design Language
Characterizing and Prioritizing Malicious Code
Applying Agile in the DoD: Sixth Principle
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